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March 30, 2026

9 curated links on AI agents, Python, security, Google Cloud, and engineering, selected by Médéric Hurier.

  1. How to build production-ready AI agents with Google-managed MCP servers

    cloud.google.com

    Google now offers managed Model Context Protocol (MCP) servers to securely connect AI agents with services like Google Maps, BigQuery, and GKE.

  2. Five techniques to reach the efficient frontier of LLM inference

    cloud.google.com

    This technical guide explores optimizing LLM performance through semantic routing, prefill/decode disaggregation, quantization, context routing, and speculative decoding.

  3. Speaking of Voxtral

    mistral.ai

    Mistral AI has released Voxtral TTS, a 4B parameter multilingual text-to-speech model featuring low latency and emotionally expressive speech across nine languages.

  4. Build an AI Agent knowledge base using SQL (BigQuery + Gemini)

    youtube.com

    This tutorial demonstrates how to leverage SQL with BigQuery and Gemini to construct robust knowledge bases for AI agents.

  5. How to Build a production-ready RAG AI agent

    youtube.com

    A technical walkthrough on implementing production-grade Retrieval-Augmented Generation (RAG) within AI agent architectures.

  6. Agentic AI at Scale: Why It’s a Marathon, Not a Sprint

    medium.com

    This article discusses the long-term technical and adoption hurdles of deploying AI agents in enterprise environments, emphasizing reliability over speed.

  7. Why I Vibe in Go, Not Rust or Python

    lifelog.my

    An essay examining why Go's compiler and simplicity make it an ideal language for AI-assisted development compared to the fragility of Python or the complexity of Rust.

  8. From AI Hype to Enterprise Execution: How to Actually Scale AI in 2026 with Linda Yao

    youtube.com

    Industry experts discuss the transition from AI experimentation to scalable enterprise execution strategies for 2026.

  9. Elon Musk's Terafab semiconductor project could cost $5 trillion

    tomshardware.com

    Bernstein analysts estimate that Elon Musk’s ambitious Terafab project would require massive capital and resources, potentially costing more than 70% of the annual US government budget.